Computer Science Dissertations

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This dissertation proposes an approach to creating robust communication systems in wireless sensor networks, inspired by biological and ecological systems, particularly by evolutionary game theory. In this approach, a ...

We present a stochastic model and numerical simulation framework
for a synthetic nanoscale walker that
can be used to transport materials and information at superdiffusive rates
in artificial molecular systems.
Our ...

Resource-constrained devices such as wireless sensor networks, body area networks, or smart phones collect confidential and sensitive information about their users. Traditional solutions to protect these data, such as ...

During the last three decades, the designers of computer IDSs have been continuously challenged with performance bottlenecks and scalability issues. The number of threats is enormous. The performance of ID systems depends ...

Computer architecture design is in a new era where performance is increased by replicating processing cores on a chip rather than making CPUs larger and faster. This design strategy is motivated by the superior energy ...

Clients, administrators, and law enforcement personnel have many privacy concerns when it comes to network forensics. Clients would like to use network services in a freedom-friendly environment that protects their privacy ...

Computing applications demand good performance from networking systems. This includes high-bandwidth communication using protocols with sophisticated features such as ordering, reliability, and congestion control. Much of ...

Defense techniques detect or prevent attacks based on their ability to model the attacks. A balance between security and usability should always be established in any kind of defense technique. Attacks that exploit the ...

The field of causal learning has grown in the past decade, establishing itself as a major focus in artificial intelligence research. Traditionally, approaches to causal learning are split into two areas. One area involves ...

Attacks on the Internet are characterized by several alarming trends:
1) increases in frequency;
2) increases in speed; and
3) increases in severity.
Modern computer worms simply propagate too quickly for human
detection. ...

Cell membranes display a range of receptors that bind ligands and activate signaling pathways. Signaling is characterized by dramatic changes in membrane molecular topography, including the co-clustering of receptors with ...

Many modern networks are reconfigurable, in the sense that the topology of the network can be changed by the nodes in the network. For example, peer-to-peer, wireless and ad-hoc networks are reconfigurable. More generally, ...

A variety of tasks are typically performed after a phylogenetic reconstruction proper -- tasks which fall under the category phylogenetic post-analysis. In this dissertation, we present novel approaches and efficient ...

Bayesian belief aggregation is the process of forming a consensus model from the probabilistic beliefs of multiple individuals. Preference aggregation attempts to find an optimal solution for a population considering each ...

Modern high performance computing (HPC) applications, for example adaptive mesh
refinement and multi-physics codes, have dynamic communication characteristics which result in poor performance on current Message Passing ...

Condition-specific cellular networks are networks of genes and proteins that describe functional interactions among genes occurring under different environmental conditions. These networks provide a systems-level view of ...

Term rewrite systems have been extensively used in order to model computer programs for the purpose of formal verification. This is in particular true if the termination behavior of computer programs is investigated, and ...

The Internet has developed into an important economic, military, academic, and social resource. It is a complex network, comprised of
tens of thousands of independently operated networks, called Autonomous Systems (ASes). ...

A hierarchical group model that decouples computation from hardware can characterize and aid in the construction of sensor network software with minimal overhead. Future sensor network applications will move beyond static, ...